David A. Patterson

Active 1975–2026

362
Papers
78,166
Citations
107
h-index
276
i10-index

Citations

Citations per year for David A. Patterson1899: 2 citations1969: 1 citations1970: 2 citations1976: 2 citations1978: 9 citations1979: 9 citations1980: 34 citations1981: 39 citations1982: 75 citations1983: 72 citations1984: 87 citations1985: 65 citations1986: 102 citations1987: 105 citations1988: 136 citations1989: 153 citations1990: 142 citations1991: 190 citations1992: 199 citations1993: 370 citations1994: 398 citations1995: 462 citations1996: 567 citations1997: 681 citations1998: 682 citations1999: 815 citations2000: 842 citations2001: 699 citations2002: 889 citations2003: 986 citations2004: 1,028 citations2005: 1,034 citations2006: 956 citations2007: 1,070 citations2008: 1,210 citations2009: 1,374 citations2010: 1,723 citations2011: 2,049 citations2012: 2,194 citations2013: 2,192 citations2014: 2,282 citations2015: 2,008 citations2016: 2,052 citations2017: 1,924 citations2018: 2,169 citations2019: 2,520 citations2020: 2,545 citations2021: 2,566 citations2022: 2,010 citations2023: 1,923 citations2024: 1,788 citations2025: 1,673 citations2026: 642 citations2027: 1 citations1900–1968: no citations, so these years are not shown1971–1975: no citations, so these years are not shown1977: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 15,500 citing papers, 31.9% of this breakdownChina: 5,926 citing papers, 12.2% of this breakdownGermany: 2,615 citing papers, 5.4% of this breakdownUnited Kingdom: 2,477 citing papers, 5.1% of this breakdownCanada: 1,691 citing papers, 3.5% of this breakdownSpain: 1,346 citing papers, 2.8% of this breakdownItaly: 1,323 citing papers, 2.7% of this breakdownFrance: 1,302 citing papers, 2.7% of this breakdownSouth Korea: 1,261 citing papers, 2.6% of this breakdownIndia: 1,219 citing papers, 2.5% of this breakdownAustralia: 1,117 citing papers, 2.3% of this breakdownJapan: 1,098 citing papers, 2.2% of this breakdown
0%31.9%Other 24.1%

Fields

  • Computer Science81.1%
  • Engineering8.7%
  • Decision Sciences1.6%
  • Medicine1.5%
  • Biochemistry, Genetics and Molecular Biology1.5%
  • Business, Management and Accounting1.1%
  • Other4.5%

Topics

  • Parallel Computing and Optimization Techniques11.1%
  • Cloud Computing and Resource Management7.5%
  • Advanced Data Storage Technologies6.9%
  • Distributed and Parallel Computing Systems4.6%
  • Interconnection Networks and Systems3.6%
  • Embedded Systems Design Techniques3.5%
  • Other62.8%

Coauthors

All papers

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  1. In-Datacenter Performance Analysis of a Tensor Processing Unit

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Daniel Killebrew, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Matt Ross, Amir Salek Farrokhi, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon - ACM SIGARCH Computer Architecture News 2017 cited by 4,424

  2. Roofline: an insightful visual performance model for multicore architectures

    Authors: , , - Communications of the ACM, Commun. ACM 2009 cited by 2,356

  3. Carbon Emissions and Large Neural Network Training

    Authors: , , , , , , , , - arXiv (Cornell University), CoRR 2021 cited by 580

  4. A view of cloud computing

    Authors: , , , , , , , , , , - Communications of the ACM, Commun. ACM 2010 cited by 8,997

  5. Detecting Large-Scale System Problems by Mining Console Logs

    Authors: , , , , - SIGOPS 22nd symposium on Operating systems principles, ICML 2009 cited by 1,360

  6. Ten Lessons From Three Generations Shaped Google's TPUv4i : Industrial Product

    Authors: , , , , , , , , , , , , , , , - ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) 2021 cited by 338

  7. A new golden age for computer architecture

    Authors: , - Communications of the ACM, Commun. ACM 2019 cited by 653

  8. Toil enables reproducible, open source, big biomedical data analyses

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Biotechnology 2017 cited by 1,444

  9. The RISC-V Instruction Set Manual. Volume 1: User-Level ISA, Version 2.0

    Authors: , , , - OSD or Non-Service DoD Agency 2014 cited by 432

  10. Cloud Programming Simplified: A Berkeley View on Serverless Computing

    Authors: , , , , , , , , , , , , , - Microservices 2022 cited by 421

  11. A domain-specific supercomputer for training deep neural networks

    Authors: , , , , , , , - Communications of the ACM, Commun. ACM 2020 cited by 253

  12. The Design Process for Google's Training Chips: TPUv2 and TPUv3

    Authors: , , , , , , , , - IEEE Micro 2021 cited by 141

  13. TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

    Authors: , , , , , , , , , , , , , - Symposium on Computer Architecture, ISCA 2023 cited by 422

  14. The GAP Benchmark Suite

    Authors: , , - arXiv (Cornell University), CoRR 2015 cited by 257

  15. The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

    Authors: , , , , , , , , , - Computer 2022 cited by 299

  16. What serverless computing is and should become: the next phase of cloud computing

    Authors: , , , , , , , , - Communications of the ACM, Commun. ACM 2021 cited by 208

  17. Benchmarking TinyML Systems: Challenges and Direction

    Authors: , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2020 cited by 198

  18. Motivation for and Evaluation of the First Tensor Processing Unit

    Authors: , , , - IEEE Micro 2018 cited by 239

  19. MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

    Authors: , , , , , , , , , , , - IEEE Micro 2020 cited by 161

  20. In-Datacenter Performance Analysis of a Tensor Processing Unit

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Daniel Killebrew, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Matt Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon - ISCA 2017 cited by 137

  21. Attack of the killer microseconds

    Authors: , , , - Communications of the ACM, Commun. ACM 2017 cited by 200

  22. A view of the parallel computing landscape

    Authors: , , , , , , , , , , , - Communications of the ACM, Commun. ACM 2009 cited by 627

  23. LogP: Towards a Realistic Model of Parallel Computation

    Authors: , , , , , , , - ACM SIGPLAN Notices, PPoPP 1993 cited by 1,504

  24. Above the Clouds: A Berkeley View of Cloud Computing

    Authors: , , , , , , , , , , - 2009 cited by 5,748